AI News

⚡ 7 minutes ago
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Monte Carlo-Based Ex-Ante Assessment of the Green Benefits of an AI-Driven Smart Agriculture Platform in Hainan (arxiv.org)
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Who Laughs with Whom? Disentangling Influential Factors in Humor Preferences across User Clusters and LLMs (arxiv.org)
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SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching (arxiv.org)
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From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents (arxiv.org)
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AlignDiff: Exploiting Model-Intrinsic Information for Better Preference Data Selection (arxiv.org)
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Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method (arxiv.org)
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What if LLMs Ate Their Words: Causal History Effects in Multi-Turn Interaction (arxiv.org)
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Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach (arxiv.org)
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NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts (arxiv.org)
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Continual Learning Mechanisms Compose for Long-Horizon Memorization (arxiv.org)
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AF-Mamba: Efficient Long-Term Signal Modeling for Early Prediction of Atrial Fibrillation Onset (arxiv.org)
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Fine-grained Distributed Backdoor Attacks in Federated Learning (arxiv.org)
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Steering Interference Reflects the Model's Defaults, Not the Behavior Directions (arxiv.org)
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Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective (arxiv.org)
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PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast (arxiv.org)
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The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists (arxiv.org)
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Constrained Online Learning with Noisy Constraint Values (arxiv.org)
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From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models (arxiv.org)
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Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning (arxiv.org)
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Learning Adaptive SED for heterogeneous load balancing (arxiv.org)
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Exact Record Omission in Delta Attention: A Transport Criterion, Its Cost, and a Replay Certificate (arxiv.org)
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PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation (arxiv.org)
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Feature Superposition in Neural Networks: From Theory to Practice (arxiv.org)
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Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification (arxiv.org)
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Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning (arxiv.org)
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HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care (arxiv.org)
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Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training (arxiv.org)
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When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data (arxiv.org)
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DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing (arxiv.org)
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LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery (arxiv.org)
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Tracking the Moving Frontier: Long-Short Term Advantage Estimator (arxiv.org)
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Data Efficient Sample Selection for In-Context Learning (arxiv.org)
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Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment (arxiv.org)
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Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model (arxiv.org)
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SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration (arxiv.org)
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A Statistical and Machine Learning Framework for Quantifying Offensive Impact in Professional Box Lacrosse (arxiv.org)
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Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality (arxiv.org)
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Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier (arxiv.org)
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Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity (arxiv.org)
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Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks (arxiv.org)
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Role-Specific Predictive Geometries for Nonstationary Multivariate Graph-Signal Forecasting (arxiv.org)
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Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning (arxiv.org)
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Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search (arxiv.org)
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Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing (arxiv.org)
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Inducing Emergent Misalignment from Reward Hacks with Iterative DPO (arxiv.org)
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How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration (arxiv.org)
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Learning Kernels by Alignment for Multiclass Bayes Classification (arxiv.org)
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LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation (arxiv.org)
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WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies (arxiv.org)
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ViT3Flow: A Test-Time Training Transformer MeanFlow for Postoperative Radiograph Synthesis in Scoliosis (arxiv.org)